Yiru Jiao | Seek Truth from Facts

Being part of Delft AI Labs Programme, Yiru Jiao joined CityAI lab and DiTT lab as a PhD student from 15 Jan. 2021. She is under the supervision of Dr.ir. Simeon C. Calvert, Dr.ir. Sander van Cranenburgh, and Prof.dr.ir. Hans van Lint. From Feb 2023, she serves as the University representative of Delft University of Technology in the PhD council of Dutch Research School for Transport, Infrastructure and Logistics (TRAIL).

My research interests are in human’s interactive behaviour and collective intelligence, with a current focus on urban mobility.

My PhD research is about:
- Vehicle interaction 1) among human drivers and 2) between human drivers and automated vehicles in urban traffic,
- Enhance traffic safety, promote travel efficiency, and gain more understanding of human driving behaviour.
Read more about my studies at CityAI lab’s project site.

Publications

Yiru Jiao, Simeon C. Calvert, Sander van Cranenburgh, and Hans van Lint. (2023). Inferring vehicle spacing in urban traffic from trajectory data. Transportation Research Part C: Emerging Technologies, 155, 104289. doi: 10.1016/j.trc.2023.104289
Yiru Jiao, Yongli Li. (2021). An active opinion dynamics model: the gap between the voting result and group opinion. Information Fusion, 65, 128-146. doi: 10.1016/j.inffus.2020.08.009
Yiru Jiao, Qing-Xing Qu. (2019). A proposal for Kansei knowledge extraction method based on natural language processing technology and online product reviews. Computers in Industry, 108, 1-11. doi: 10.1016/j.compind.2019.02.011
Zhongzhong Jiang, Yiru Jiao, Ying Sheng, Xiaohong Chen. (2017). A novel model and its algorithms for the shortest path problem of dynamic weight-varying networks in Intelligent Transportation Systems. Journal of Intelligent & Fuzzy Systems, 33(5), 3095-3102. doi: 10.3233/JIFS-169361

Presentations

Yiru Jiao, Simeon C. Calvert, Hans van Lint. (2024, Jan 7-11, poster). Impacts of automated vehicles on human drivers following them: A focus on distance and time headway. Transportation Research Board 103rd Annual Meeting, Washington, D.C., United States.
Yiru Jiao, Simeon C. Calvert, Sander van Cranenburgh, Hans van Lint. (2023, Sep 24–28, oral). Identifying Vehicle Interaction at Urban Intersections: A Comparison of Proximity Resistance, Time-to-Collision, and Post-Encroachment-Time. 26th IEEE International Conference on Intelligent Transportation Systems ITSC 2023, Bilbao, Spain. doi:10.1109/ITSC57777.2023.10422682
Yiru Jiao, Simeon C. Calvert, Sander van Cranenburgh, Hans van Lint. (2023, Sep 6–8, oral). Varying critical time to collision: a perspective of driver space. hEART 2023: 11st Symposium of the European Association for Research in Transportation, Zürich, Switzerland.
Yiru Jiao, Sander van Cranenburgh, Simeon C. Calvert, Hans van Lint. (2022, June 1–3, oral). Probabilistic representation of driver space and its inference from trajectory data. hEART 2022: 10th Symposium of the European Association for Research in Transportation, Leuven, Belgium.

Datasets/softwares

Yiru Jiao, (2024). Trajectory reconstruction of crashes and near-crashes from 100-Car NDS time-series data. Available at GitHub under MIT license, link to use.
Yiru Jiao, (2023). Fast calculation of two-dimensional Time-to-Collision. Available at GitHub under MIT license, link to use.
Guopeng Li, Yiru Jiao, Victor L. Knoop, Simeon C. Calvert and J. W. C. Van Lint. (2023) Large car-following data based on Lyft level-5 open dataset: Following autonomous vehicles vs. human-driven vehicles. IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain. Link to download.
Guopeng Li, Yiru Jiao, Simeon C. Calvert, J.W.C. van Lint. (2023) A Conflict Resolution Dataset Derived from Argoverse-2: Analysis of the Safety and Efficiency Impacts of Autonomous Vehicles at Intersections. Available at arXiv (in submission), link to download.

Education

Sep. 2023 - Nov. 2023 IFEEMCS520100 Fundamentals of Artificial Intelligence Programme, project supervision and grading

Sep. 2023 - Oct. 2023 TIL 4020-20 Research Project, group workshop

Apr. 2023 - Jun. 2023 CTB3000 Bachelor eindwerk, supervision and evaluation

Sep. 2022 - Jan. 2023 CIE5050 Additional Master Thesis, supervision: Analysis on the heterogeneity of proximity resistance in car following

Oct. 2022 MUDE (Modelling, Uncertainty and Data for Engineers) poster and coding session, teaching assistance

Apr. 2022 - Jul. 2022 CIE4845 Emerging Topics for Transport & Planning, supervision and grading

Sep. 2021 - Dec. 2021 CS4320TU Applied AI project, supervision and grading: Detecting traffic jam with urban trajectory data

Awards/grants

2022

Delft AI Labs North America travel grant

2019

2018-2019 China National Scholarship for Postgraduate Student

2017

Meritorious Winner of 2017 Interdisciplinary Contest in Modeling
2016-2017 China National Scholarship

2016

Meritorious Winner of 2016 Mathematical Contest in Modeling
2015-2016 China National Scholarship

Background

Jan. 2021 - (expected) Dec. 2025 Delft University of Technology
PhD candidate in the department of Transport & Planning

Sep. 2018 - Jul. 2020 Harbin Institute of Technology
Master in Management Science and Engineering
GPA: 91.545, Rank: 2/39
Thesis: An active opinion dynamics model: modelling group opinion evolution under active interactions (Outstanding master thesis of Harbin Institute of Technology)